Fixing Data Augmentation to Improve Adversarial Robustness

2 March 2021

Sylvestre-Alvise Rebuffi

Papers citing "Fixing Data Augmentation to Improve Adversarial Robustness"

50 / 174 papers shown

Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 36 0 0 02 May 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 36 0 0 25 Mar 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 48 0 0 18 Mar 2025
Robust Dataset Distillation by Matching Adversarial Trajectories Wei Lai Tianyu Ding ren dongdong Lei Wang Jing Huo Yang Gao Wenbin Li AAML DD 57 0 0 15 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 64 0 0 04 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 36 0 0 28 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 50 1 0 25 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 52 0 0 25 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang Mingyang Yi Shuchen Xue Z. Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 37 0 0 24 Feb 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 36 0 0 13 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 69 1 0 20 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 37 1 0 05 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 23 1 0 29 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 18 0 0 16 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 24 1 0 16 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 24 1 0 06 Oct 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 16 0 0 19 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 29 5 0 12 Aug 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 32 0 0 11 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 16 0 0 26 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 29 2 0 19 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun Pietro Liò Bin Xiao 26 0 0 05 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 27 3 0 29 May 2024
PUMA: margin-based data pruning Javier Maroto Pascal Frossard AAML 31 1 0 10 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 25 1 0 05 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 27 0 0 03 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 36 0 0 22 Apr 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 45 0 0 09 Apr 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks Jianlang Chen Xuhong Ren Qing-Wu Guo Felix Juefei Xu Di Lin Wei Feng Lei Ma Jianjun Zhao 22 1 0 09 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 17 5 0 24 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 26 2 0 08 Mar 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 29 0 0 22 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 19 12 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 19 6 0 03 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 23 13 0 29 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 8 0 0 18 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes Shayan Mohajer Hamidi Linfeng Ye AAML 19 2 0 15 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 30 1 0 12 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 12 1 0 05 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 27 7 0 28 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 33 0 0 08 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 24 0 0 05 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 23 1 0 03 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 14 2 0 26 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 8 10 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang D. Song Bo-wen Li 25 22 0 27 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 24 0 0 19 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing-Wu Guo AAML 16 2 0 18 Oct 2023